{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1 задача\n",
    "\n",
    "1. Скачать данные по ссылке https://drive.google.com/file/d/1MpAdHAl727fO3oW32NO4FpSRhUBUfjfS\n",
    "2. Считать данные с помощью pandas\n",
    "3. Вывести на экран первые 5 строк"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Company</th>\n",
       "      <th>Product</th>\n",
       "      <th>TypeName</th>\n",
       "      <th>Inches</th>\n",
       "      <th>Cpu</th>\n",
       "      <th>Ram</th>\n",
       "      <th>Gpu</th>\n",
       "      <th>OpSys</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Price_euros</th>\n",
       "      <th>Cpu_Company</th>\n",
       "      <th>Memory_Amount</th>\n",
       "      <th>Memory_Type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Apple</td>\n",
       "      <td>MacBook Pro</td>\n",
       "      <td>Ultrabook</td>\n",
       "      <td>13.3</td>\n",
       "      <td>Intel Core i5 2.3GHz</td>\n",
       "      <td>8GB</td>\n",
       "      <td>Intel Iris Plus Graphics 640</td>\n",
       "      <td>macOS</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1339.69</td>\n",
       "      <td>Intel</td>\n",
       "      <td>128</td>\n",
       "      <td>SSD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Apple</td>\n",
       "      <td>Macbook Air</td>\n",
       "      <td>Ultrabook</td>\n",
       "      <td>13.3</td>\n",
       "      <td>Intel Core i5 1.8GHz</td>\n",
       "      <td>8GB</td>\n",
       "      <td>Intel HD Graphics 6000</td>\n",
       "      <td>macOS</td>\n",
       "      <td>1.34</td>\n",
       "      <td>898.94</td>\n",
       "      <td>Intel</td>\n",
       "      <td>128</td>\n",
       "      <td>FlashStorage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HP</td>\n",
       "      <td>250 G6</td>\n",
       "      <td>Notebook</td>\n",
       "      <td>15.6</td>\n",
       "      <td>Intel Core i5 7200U 2.5GHz</td>\n",
       "      <td>8GB</td>\n",
       "      <td>Intel HD Graphics 620</td>\n",
       "      <td>No OS</td>\n",
       "      <td>1.86</td>\n",
       "      <td>575.00</td>\n",
       "      <td>Intel</td>\n",
       "      <td>256</td>\n",
       "      <td>SSD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Apple</td>\n",
       "      <td>MacBook Pro</td>\n",
       "      <td>Ultrabook</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Intel Core i7 2.7GHz</td>\n",
       "      <td>16GB</td>\n",
       "      <td>AMD Radeon Pro 455</td>\n",
       "      <td>macOS</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2537.45</td>\n",
       "      <td>Intel</td>\n",
       "      <td>512</td>\n",
       "      <td>SSD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Apple</td>\n",
       "      <td>MacBook Pro</td>\n",
       "      <td>Ultrabook</td>\n",
       "      <td>13.3</td>\n",
       "      <td>Intel Core i5 3.1GHz</td>\n",
       "      <td>8GB</td>\n",
       "      <td>Intel Iris Plus Graphics 650</td>\n",
       "      <td>macOS</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1803.60</td>\n",
       "      <td>Intel</td>\n",
       "      <td>256</td>\n",
       "      <td>SSD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Company      Product   TypeName  Inches                         Cpu   Ram  \\\n",
       "0   Apple  MacBook Pro  Ultrabook    13.3        Intel Core i5 2.3GHz   8GB   \n",
       "1   Apple  Macbook Air  Ultrabook    13.3        Intel Core i5 1.8GHz   8GB   \n",
       "2      HP       250 G6   Notebook    15.6  Intel Core i5 7200U 2.5GHz   8GB   \n",
       "3   Apple  MacBook Pro  Ultrabook    15.4        Intel Core i7 2.7GHz  16GB   \n",
       "4   Apple  MacBook Pro  Ultrabook    13.3        Intel Core i5 3.1GHz   8GB   \n",
       "\n",
       "                            Gpu  OpSys  Weight  Price_euros Cpu_Company  \\\n",
       "0  Intel Iris Plus Graphics 640  macOS    1.37      1339.69       Intel   \n",
       "1        Intel HD Graphics 6000  macOS    1.34       898.94       Intel   \n",
       "2         Intel HD Graphics 620  No OS    1.86       575.00       Intel   \n",
       "3            AMD Radeon Pro 455  macOS    1.83      2537.45       Intel   \n",
       "4  Intel Iris Plus Graphics 650  macOS    1.37      1803.60       Intel   \n",
       "\n",
       "   Memory_Amount   Memory_Type  \n",
       "0            128           SSD  \n",
       "1            128  FlashStorage  \n",
       "2            256           SSD  \n",
       "3            512           SSD  \n",
       "4            256           SSD  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"laptops_10.csv\", sep=\",\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 Изучите количество памяти с  помощью matplotlib\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Количество')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df[\"Memory_Amount\"], bins=30)\n",
    "plt.title(\"Распределение памяти\")\n",
    "plt.xlabel(\"GB\")\n",
    "plt.ylabel(\"Количество\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 Изучите стоимость ноутбуков с помощью matplotlib\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Количество')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df[\"Price_euros\"], color=\"red\", edgecolor=\"black\", bins=30)\n",
    "plt.title(\"Распределение стоимости\")\n",
    "plt.xlabel(\"euro\")\n",
    "plt.ylabel(\"Количество\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.3 Изучите вес ноутбуков с помощью matplotlib\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Количество')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df[\"Weight\"], color=\"red\", edgecolor=\"black\", bins=30)\n",
    "plt.title(\"Распределение веса\")\n",
    "plt.xlabel(\"kg\")\n",
    "plt.ylabel(\"Количество\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 Задача"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 Изучите распределение типов носителя\n",
    "\n",
    "- Постройте график\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Memory_Type\n",
       "SSD             641\n",
       "HDD             576\n",
       "FlashStorage     74\n",
       "Hybrid           12\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = df[\"Memory_Type\"].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names = data.index\n",
    "values = data.values\n",
    "\n",
    "plt.pie(values, labels=names, autopct=\"%.1f%%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Изучите распределение компаний производителей\n",
    "\n",
    "- Постройте график\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Company\n",
       "Dell         297\n",
       "Lenovo       297\n",
       "HP           274\n",
       "Asus         158\n",
       "Acer         103\n",
       "MSI           54\n",
       "Toshiba       48\n",
       "Apple         21\n",
       "Samsung        9\n",
       "Razer          7\n",
       "Mediacom       7\n",
       "Microsoft      6\n",
       "Xiaomi         4\n",
       "Vero           4\n",
       "Chuwi          3\n",
       "Google         3\n",
       "Fujitsu        3\n",
       "LG             3\n",
       "Huawei         2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = df[\"Company\"].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18],\n",
       " [Text(0, 0, 'Dell'),\n",
       "  Text(1, 0, 'Lenovo'),\n",
       "  Text(2, 0, 'HP'),\n",
       "  Text(3, 0, 'Asus'),\n",
       "  Text(4, 0, 'Acer'),\n",
       "  Text(5, 0, 'MSI'),\n",
       "  Text(6, 0, 'Toshiba'),\n",
       "  Text(7, 0, 'Apple'),\n",
       "  Text(8, 0, 'Samsung'),\n",
       "  Text(9, 0, 'Razer'),\n",
       "  Text(10, 0, 'Mediacom'),\n",
       "  Text(11, 0, 'Microsoft'),\n",
       "  Text(12, 0, 'Xiaomi'),\n",
       "  Text(13, 0, 'Vero'),\n",
       "  Text(14, 0, 'Chuwi'),\n",
       "  Text(15, 0, 'Google'),\n",
       "  Text(16, 0, 'Fujitsu'),\n",
       "  Text(17, 0, 'LG'),\n",
       "  Text(18, 0, 'Huawei')])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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e3t5y/vx5iYqKUtbZtWuXmJqairOzc3qOhYiIiIiyoFTVkPbq1UtWrVolv//+u5iYmChtPs3MzCR37txiZmYmnTt3loEDB4qFhYWYmppKnz59xNvbW7y8vEREpHbt2uLs7Cxt27aVyZMnS0REhIwYMUJ69erFWlAiIiKi/6BUBdL58+eLiEiNGjX0li9dulQ6dOggIiLTp08XIyMjCQ4Olri4OKlTp47MmzdPWTdbtmyyZcsW6dGjh3h7e0vevHmlffv2Mnbs2PQdCRERERFlSakKpAA+uk6uXLlk7ty5Mnfu3A+u4+joKNu2bUvNromIiIjoC8W57ImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVZVe7AETJFRm2NUO3/8/EoAzdPhEREaUea0iJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVaU6kB44cEAaNGggdnZ2otFoZOPGjXqvd+jQQTQajd5PYGCg3jpPnz6V1q1bi6mpqZibm0vnzp3l5cuX6ToQIiIiIsqaUh1IX716JeXLl5e5c+d+cJ3AwEB5+PCh8rN69Wq911u3bi0XL16UXbt2yZYtW+TAgQPStWvX1JeeiIiIiLK8VM/UVLduXalbt+6/rmNsbCy2trbvfe3y5cuyY8cOOXHihLi7u4uIyOzZs6VevXryww8/iJ2dXWqLRERERERZWIa0Id23b59YW1tLqVKlpEePHvLkyRPltSNHjoi5ubkSRkVE/P39xcjISI4dO/be7cXFxUlMTIzeDxERERF9GQweSAMDA2XFihWyZ88emTRpkuzfv1/q1q0rSUlJIiISEREh1tbWev8me/bsYmFhIREREe/d5oQJE8TMzEz5sbe3N3SxiYiIiEglqX5k/zEtWrRQ/t/V1VXKlSsnxYsXl3379omfn1+athkWFiYDBw5Ufo+JiWEoJSIiIvpCZPiwT8WKFZMCBQrI9evXRUTE1tZWoqKi9NZJTEyUp0+ffrDdqbGxsZiamur9EBEREdGXIcMD6b179+TJkydSsGBBERHx9vaW58+fy8mTJ5V1/vjjD9FqteLp6ZnRxSEiIiKiz0yqH9m/fPlSqe0UEbl165acOXNGLCwsxMLCQr799lsJDg4WW1tbuXHjhgwZMkRKlCghderUERGRMmXKSGBgoISEhMiCBQskISFBevfuLS1atGAPeyIiIqL/oFTXkP71119SsWJFqVixooiIDBw4UCpWrCijRo2SbNmyyblz56Rhw4bi5OQknTt3Fjc3N/nzzz/F2NhY2cbKlSuldOnS4ufnJ/Xq1RMfHx9ZuHCh4Y6KiIiIiLKMVNeQ1qhRQwB88PWdO3d+dBsWFhayatWq1O6aiIiIiL5AnMueiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUhUDKRERERGpioGUiIiIiFTFQEpEREREqmIgJSIiIiJVMZASERERkaoYSImIiIhIVQykRERERKQqBlIiIiIiUlX21P6DAwcOyJQpU+TkyZPy8OFD2bBhgzRu3Fh5HYCMHj1aFi1aJM+fP5eqVavK/PnzpWTJkso6T58+lT59+sjmzZvFyMhIgoODZebMmZIvXz6DHBRRahUZtjVDt//PxKAM3T4REVFWluoa0levXkn58uVl7ty573198uTJMmvWLFmwYIEcO3ZM8ubNK3Xq1JE3b94o67Ru3VouXrwou3btki1btsiBAweka9euaT8KIiIiIsqyUl1DWrduXalbt+57XwMgM2bMkBEjRkijRo1ERGTFihViY2MjGzdulBYtWsjly5dlx44dcuLECXF3dxcRkdmzZ0u9evXkhx9+EDs7u3QcDhERERFlNQZtQ3rr1i2JiIgQf39/ZZmZmZl4enrKkSNHRETkyJEjYm5uroRRERF/f38xMjKSY8eOvXe7cXFxEhMTo/dDRERERF8GgwbSiIgIERGxsbHRW25jY6O8FhERIdbW1nqvZ8+eXSwsLJR13jVhwgQxMzNTfuzt7Q1ZbCIiIiJSUZboZR8WFibR0dHKz927d9UuEhEREREZiEEDqa2trYiIREZG6i2PjIxUXrO1tZWoqCi91xMTE+Xp06fKOu8yNjYWU1NTvR8iIiIi+jIYNJAWLVpUbG1tZc+ePcqymJgYOXbsmHh7e4uIiLe3tzx//lxOnjyprPPHH3+IVqsVT09PQxaHiIiIiLKAVPeyf/nypVy/fl35/datW3LmzBmxsLAQBwcH6d+/v3z33XdSsmRJKVq0qIwcOVLs7OyUsUrLlCkjgYGBEhISIgsWLJCEhATp3bu3tGjRgj3siYiIiP6DUh1I//rrL6lZs6by+8CBA0VEpH379rJs2TIZMmSIvHr1Srp27SrPnz8XHx8f2bFjh+TKlUv5NytXrpTevXuLn5+fMjD+rFmzDHA4RERERJTVpDqQ1qhRQwB88HWNRiNjx46VsWPHfnAdCwsLWbVqVWp3TURERERfoCzRy56IiIiIvlwMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKrKrnYBiP7LigzbmqHb/2diUIZun4iIyBAMXkM6ZswY0Wg0ej+lS5dWXn/z5o306tVLLC0tJV++fBIcHCyRkZGGLgYRERERZREZ8sjexcVFHj58qPwcPHhQeW3AgAGyefNm+eWXX2T//v3y4MEDadKkSUYUg4iIiIiygAx5ZJ89e3axtbVNsTw6OloWL14sq1atklq1aomIyNKlS6VMmTJy9OhR8fLyyojiEBEREdFnLENqSK9duyZ2dnZSrFgxad26tdy5c0dERE6ePCkJCQni7++vrFu6dGlxcHCQI0eOfHB7cXFxEhMTo/dDRERERF8GgwdST09PWbZsmezYsUPmz58vt27dEl9fX3nx4oVERERIzpw5xdzcXO/f2NjYSERExAe3OWHCBDEzM1N+7O3tDV1sIiIiIlKJwR/Z161bV/n/cuXKiaenpzg6Osq6deskd+7cadpmWFiYDBw4UPk9JiaGoZSIiIjoC5Hh45Cam5uLk5OTXL9+XWxtbSU+Pl6eP3+ut05kZOR725zqGBsbi6mpqd4PEREREX0ZMnwc0pcvX8qNGzekbdu24ubmJjly5JA9e/ZIcHCwiIhcuXJF7ty5I97e3hldFCL6/zj+KRERfU4MHkhDQ0OlQYMG4ujoKA8ePJDRo0dLtmzZpGXLlmJmZiadO3eWgQMHioWFhZiamkqfPn3E29ubPeyJiIiI/qMMHkjv3bsnLVu2lCdPnoiVlZX4+PjI0aNHxcrKSkREpk+fLkZGRhIcHCxxcXFSp04dmTdvnqGLQURERERZhMED6Zo1a/719Vy5csncuXNl7ty5ht41EREREWVBGd6piYiIiIjo3zCQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkquxqF4CI/juKDNuaodv/Z2JQhm6fiIgyBmtIiYiIiEhVDKREREREpCoGUiIiIiJSFQMpEREREamKgZSIiIiIVMVASkRERESqYiAlIiIiIlUxkBIRERGRqhhIiYiIiEhVDKREREREpCoGUiIiIiJSFQMpEREREamKgZSIiIiIVMVASkRERESqYiAlIiIiIlUxkBIRERGRqhhIiYiIiEhV2dUuABFRRisybGuGbv+fiUEZun0ioi8da0iJiIiISFUMpERERESkKj6yJyLKIGo1FWATBSLKalhDSkRERESqYg0pEREZBGtmiSitWENKRERERKpiICUiIiIiVfGRPRERZWnsPEaU9TGQEhERZSH/tQD+X9vvf5Vqj+znzp0rRYoUkVy5comnp6ccP35craIQERERkYpUqSFdu3atDBw4UBYsWCCenp4yY8YMqVOnjly5ckWsra3VKBIRERGR6v6rNbOq1JBOmzZNQkJCpGPHjuLs7CwLFiyQPHnyyJIlS9QoDhERERGpKNNrSOPj4+XkyZMSFhamLDMyMhJ/f385cuTIe/9NXFycxMXFKb9HR0eLiEhMTEzGFjYZbVxshm7/Q8fC/XK/3C/3y/1yv9wv95vR+83IfQH4+MrIZPfv34eI4PDhw3rLBw8eDA8Pj/f+m9GjR0NE+MMf/vCHP/zhD3/4k8V+7t69+9F8mCV62YeFhcnAgQOV37VarTx9+lQsLS1Fo9GoWLL3i4mJEXt7e7l7966Ymppyv9wv98v9cr/cL/fL/X4x+/1UAOTFixdiZ2f30XUzPZAWKFBAsmXLJpGRkXrLIyMjxdbW9r3/xtjYWIyNjfWWmZubZ1QRDcbU1FSVDwj3y/1yv9wv98v9cr/c7+fAzMzsk9bL9E5NOXPmFDc3N9mzZ4+yTKvVyp49e8Tb2zuzi0NEREREKlPlkf3AgQOlffv24u7uLh4eHjJjxgx59eqVdOzYUY3iEBEREZGKVAmkzZs3l0ePHsmoUaMkIiJCKlSoIDt27BAbGxs1imNwxsbGMnr06BTNDLhf7pf75X65X+6X++V+s/p+M4IG+JS++EREREREGUO1qUOJiIiIiEQYSImIiIhIZQykRERERKQqBtJMwGa6RERERB/GQJoJNBqNaLVatYtBREQf8fjxY1m4cKEkJiaqXZQM98cff8jLly/VLgaRiDCQZqjDhw9L79695enTp2JkZPSfqSn9rxynju7C9V87bspcvKn9PxkZFseOHSsPHjyQ7NkzZ1REtc4bjx49kiZNmsilS5dU2f+7eP7MWL/99ptcv35d7WL8KwbSDABAtFqthIeHy59//imhoaFy9epV0Wg0ahctw5w7d07Wr18vkZGRqh1nUlKS8t+EhIRM2ScA5cLVrVs3iYqKypT97t27N9P29bn5UDD7HAKbrgzPnj0z+HaNjN6erufMmSMvXrww6PazAt17Gxsbq3zndu7cafD9TJ06VcaMGSMiIvPmzZNz584ZdPvvfk6Tny8zM5RZWVnJ9evXxcPDQ65evWrw4/wUyd+LzLpuvO89NsT7Hh8fn+5tZJS4uDgZP368XLlyRe2i/CsG0gxiZGQkI0aMkJCQELl586aEhobKgQMHlNfVvBvUBbd3pfWC3rFjR/nqq6+kWbNmUqZMGfn555/TU7w0SUpKkmzZsomIyDfffCPbt2/P8Iu2VqtVTqI9e/aUgwcPSp48eTJ0nyIiW7dulaCgIPnxxx/ln3/+UZarXcOg+1w9ePBAjh8/LufPn5enT58afB+6pw3h4eGyZMkS2bBhg8THx6v+FEJXtqSkJKlSpYp07dpVeS295dKF0TZt2sjmzZs/u4tfZrzvRkZGcuXKFZk6darExsZK+/btpXXr1vLmzRuD7UOr1UqOHDlERGTXrl0yfvx4mTZtmhw8eFBZJz3HCkD5W27YsEHCwsJk5MiRsmjRIhHJ3OZdAMTS0lJE3p4zK1SoINu3b8+UfYu8reU2MjKSp0+fyqxZs6Rv377y3XffyaNHjz54jTIE3Tn73fc9PX/XBQsWSOfOnWXWrFkGKaOhGRsby5EjRyQoKEiuXr0qq1evVrtI7wcyuM6dO2Pt2rXK76tXr0bdunVRs2ZNrFmzRlmu1WozvWyJiYnK/69ZswYzZ87E9OnT8ezZszRtLyQkBCVKlMCePXuwc+dOdOnSBUZGRti/f7+BSvxxyd/HunXrwtPTE4cOHUJSUpLeeu/+bij79+/H5MmTsXv37gzZ/vt8++23cHBwQK9evXD27FlluRqfKeD/PlcXLlyAs7MzSpUqBTMzM7Rt2xZbtmwxyD6SH1tgYCC8vb1RtmxZVKtWDS4uLnjy5IlB9pMWyb9X69atQ0BAADQaDerVq4eXL18CSP/f5vz58wgODsaZM2fStR1DS35cjx8/xr179wy+j7Vr1+Knn37ClClTYGJigqpVq8Lc3Bw3btwAkHHf7ZUrV8Lb2xsNGzbEhg0blOVp/Vvq/t3s2bNhZWWF2rVro1atWrCxsUFAQIByHBl1PO+WI7nOnTsjR44cmDt3bobvP/n2y5cvD19fX/Tt2xe2traoUKGC8nfNKK9fv0bv3r2h0WgwcuTI95brUw0ZMgS+vr6YM2cOrl69CgCIiorCq1evDFZeQ5o0aRI0Gg2+//57xMXFqV0cPQykBnblyhUEBQXBxcUFs2bNUpbv2bMHzZo1Q5UqVTBt2jRleUZ/8T+kRYsWKFOmDEqVKoUyZcrAxMQE69evT9U25syZg7x58+Lu3bvKskuXLsHW1hazZ882dJE/auzYsShZsiSePn2qLDt79iwOHTqk/G7owHbu3DnkyJEDRkZGys1GfHy8QfehEx0djYiICOX31atXw8HBAU2bNsW+ffuUY8vsUKrb36tXr1CkSBH07t0bcXFxWL9+PbJnzw5fX18sWrTIYCe/gQMHwsnJSQmgPj4+8PHx+SwuAF9//TWqV6+OiRMnIjQ0FA4ODihZsiSuXbsGIO1/m61bt8LLywtlypTBuXPn0rUtQ9OVY/HixXBzc4OVlRXatGmDS5cuGeT8dvHiRWg0Gvzyyy8AgO+//x4ajQY+Pj44ceKEcjOQ3vfjQ2Fw37598PPzQ82aNbFw4UK8efMmXfu7dOkS8ufPj3Xr1gEAXr58iT179qBMmTKoUqUKYmJi0nEUqdOvXz/07NlT+X3ChAkwMjLCwIEDM+X71LFjR/j4+Ci/V61aFU2aNNFbx5Cf8+TbevbsGebPn4/cuXOjadOmyvLkN5cfM2/ePJiZmeHUqVNISEgAAJw4cQKVKlXCokWL8OLFC4OV3ZAWLVqEHDlyoEOHDnrXS7UxkGaAc+fOYcCAAShVqhQGDx6st7xr167w9PTE0KFDlRNPZl9Y5s+fD2tra9y6dQvR0dGIiopCaGgojIyMsGrVqk/aRnR0NNzd3ZE/f35ER0frvWZnZ4cZM2ZkRNE/KD4+Hi1atMCQIUMAAAcPHsTQoUNhbGwMZ2dndOzYUTlhGFJUVBR+/PFHlChRApUrV0ZsbCyA1J3UPnU/rVq1wuTJk3Hr1i1l+bFjx+Di4oLq1atjw4YNeP36tUH3mxphYWEIDAwE8PYz7e7ujsaNG6N27dooVKgQJk2ahAcPHqRp27r3Mzo6GvXr11dqq4YPHw4HBwf8888/AN7e+CWvMc5M27dvh7m5OS5duqQsO3v2LHx9fZE/f/50PTW4evUqKleuDI1Gg1GjRn1WFxHg7bnN0tIS48ePx5IlS1CiRAmULFkS4eHh6b4RmTFjBqpVqwYA+Pvvv+Hu7o4pU6agXLlyqFatGjZs2KB87wCkaX+6z9fFixfRrl07dOnSBdOmTVNC2ZUrV9C0aVNUqVIF3333HSIjI1O1/eTn+H379sHZ2RlRUVF6+//jjz/g7OyM7du3p7r8aREXF4cZM2bAz88P4eHhyvJff/0VefPmRdOmTdP8ff0YrVaLpKQkBAcH49dffwUANGvWDJUqVVKe1i1ZsgQ3b940yP50f993rwGvX7/G77//jkKFCsHNzU25Jn/KjdS1a9dQsmRJLFu2TFkWGRkJKysrlC5dGjly5MCYMWP0/s6ZLfnnLj4+HnFxccr3Izw8HJaWlqhevbrB3uf0YiA1oOR//Dt37uC7776Dq6srWrZsiefPnwMAHjx4gGHDhsHHxwfNmzfXCxeZZejQoWjXrp3eMq1WiyFDhsDV1fWjJyHdXd/Fixfh6+sLS0tLHDhwAMDbO+6iRYtmTMHfkfykodVq0bVrV9SsWRODBw9GpUqV0KlTJ/zyyy+YMGECPD09DXK3+r6gGR8fj61btyq1zVeuXFHKZKibjfLly6NJkybYvHmzsky37Xv37qFGjRpwdXXF4sWLVXl0rdVqsXXrVqXWp02bNqhRowYA4MmTJ7C2tkbhwoUxffr0T97mxYsXMXHiRL19JCYmwtfXF+vWrcPKlSthbm6OgwcPAnhb0/TNN99g7ty5GXLz8TGbNm1C4cKFU9ygHTlyBMbGxjAyMsJPP/30Sdt63wXx1atXaNasGRwdHTF9+nS976kataXJy3jmzBm9m28ACAgIgLm5OVasWJGu796uXbug0Wjw3XffoWDBgujduzcA4P79+6hVqxZcXV2xdOlSJaQ7OTnh2LFjqX5Pnj9/DmtrazRq1AjVqlWDt7c3AgMDlcewMTEx6NmzJxwcHFLVPEd3znjz5g3OnDmDK1euIHfu3EqNr86rV6/g5OSk95k3tHc/V7dv30bdunVRt25dvdf++usvWFpawt3d3SBPNjZv3oywsDCldhl4GwbLli2LuXPnYtasWShcuDD+/vtvAG+DY5s2bTBixAiD3dxrtVr4+PikqHSJj49HeHg4TExMUKJECZw6deqTtnfw4EE4OzvjwoULyrLx48ejefPmAIAFCxYgW7ZsaN26NR49emSQY0irpUuXolWrVvDx8UH79u1x9OhRAG9vdF1dXVG6dGnlPKomBlIDS34SfPLkCRYsWIDKlSvDz89PqTl58+YNJk6cCE9PT70Pc0Z59wvdp08fFClSRPlddyLasmULrK2tlceLH1KpUiXlscqzZ8/QqlUr5MiRAy1atEDBggVx4sSJ9+43I0RGRirtjU6dOoV69erB29sbP/74I+7cuQPg7Z1gpUqVlFq0tEr+aHDlypXo3r07li1bhsOHDwMAjh49isDAQNja2mLnzp3p2ldyTZo0QfXq1VM8Qnv9+rVSm6DVatGmTRs4ODhg5MiRSrvFzKD7zD958gQvX77EzZs34ebmply0b9++jUaNGmHEiBHKjdnHJCUl4fvvv0fBggXRp08f5TMaHx+Pfv36wcfHB2ZmZvjf//6n/JuTJ0+iSJEieqE9M/3zzz8oUKAAfvjhB73lL1++RNOmTdG9e3fkzZsXq1ev/tftJP/eHDp0CL///jv++OMPZdmAAQNQuHBhhIWFKWEpsyUv4969e/Htt9+ia9euKdbr3bs3cuTIgSFDhqTpM6n7u//444/QaDRwcHDQe12r1aJ9+/YoUaIEmjdvjsqVK6NSpUqfvP3k5+u9e/eiY8eOAIDY2FisXr0a/v7+cHd31wugmzZtSvVxAIC/vz969uyJqKgoNG3aFA0bNsTevXuV1xMSElClSpVU3bSlxalTp9C2bVvlxjkyMhLFihVDq1at9Na7d++ewULKsmXLoNFo0KFDB70b5qVLl6JcuXLImTOn3nuxbds22NnZ6TW3Sq+HDx+iVatWyJ8/f4rQ/+bNG9SuXRsWFhZo3LjxJ21vxYoVyJkzp97xxMTE6D2lmjdvHmxtbVWpgdR9tleuXAlTU1P88MMPWLBgAZycnFC2bFnlXBwdHY1atWrB1NQ0zX1JDIWB1EB0NTKvXr1CZGSkXqj7/fffERAQgEqVKukFlevXr2da+aKjo5WOVhcvXkTZsmUxdOhQPHz4UFnnwoULcHJywl9//fXB7SQlJeGXX36BnZ0dfH19lQ/wqFGjkDdvXtSvX19v3YzWqVMnaDQa5YLxbkiLjIxE2bJl9dpJpUXyC1dAQAA8PT3x1VdfwdfXFyVLllTuOC9cuIAuXbpAo9EYJBgdO3YM5cuX13sMffPmTSxfvhze3t6oWbMm5s+fr7zWv39/fP/99+ne7/skfw+SB8Tkj0uBtzVXJUqUwPz586HVarFx40Z4enqmuub2/v37mD59OipWrIjGjRsrNYJ37txB2bJlYW5ujkOHDuHixYs4dOgQihUrlu6/86d6381WXFwc+vfvj6pVq2LmzJnK8tu3b6Ny5crYt28fgoKCUlz4k0v+Hrdo0QLlypWDu7s7cuXKhTZt2ijnmVmzZsHR0RFfffWVUqukhlq1aqF48eLIli0bzM3N8fPPP6e4cZowYYLSlCOtxowZAzs7OxQoUAC+vr56NW0AMG3aNHTp0gU9e/b85JrR5Oen6OhobNy4Uand0gkPD8fXX3+NcuXKYc6cOakqc/JyhIeHo0aNGsrj26NHj8Ld3R21atVCWFgYli1bhlatWsHe3j7D2qDrytO4cWNoNBoUKlQIY8aMwfbt27F7924EBgZi5syZGXbePnDgAGxsbODj46Nc+65cuYJmzZqhbNmyGDt2LI4cOYIFCxbA2tpaCY3p7UAGQLnORUVFYcKECbCwsEDnzp311u/WrRu2bt36yW3x9+/fjxw5cih9L953fvz1118RGBiYIR39PkVUVBRcXFzw448/AnhbZlNTU2zcuBEA9GpuT58+rUYR9TCQGoDu4vT69WsEBASgcuXKMDExQdOmTZU//J49e9CyZUs4OzvrdWrKLPPnz0exYsVw48YNvHnzBiNGjEDVqlXRsmVLbNq0CVu2bIGbm9sn3R1qtVocPXoUnp6ecHJyUi6IS5YsQe7cufH1119n2iPEJ0+eoFOnTsiRIwcWLFigV8YZM2YovVgNZezYsXB2dsbjx48BQNl+8o4Id+/exaxZswzy2Pj06dNwdHRUThZXrlxBgwYN4ObmhoYNG6J169YwNzf/5La/6aE7Ht0F8+zZswgKCoKHhwe8vb2xfv16REREIDY2Fo0bN4arqys8PT1hYmKinBBT6+XLl1i2bBl8fX1RtWpVJfhHRkbC09MTdnZ2MDExgZeXF9q2bav8u4y8GXp3pIoJEyYoNwyRkZEICQmBm5sbvLy80LFjRxQtWlR5ojBgwAA0atQI8fHx//odGTJkCIoWLarU6levXh1ubm56zQHWrVuHmjVrqtZTdvXq1fDw8MDZs2dx+fJl+Pn5oVy5cli4cGGKm4+0ng907/W+fftw9+5dHDlyBC4uLnBwcEjxJCc+Pj5Nf/cxY8bAyckJLi4uKF26dIqa3JMnT6JNmzaoXr16iiD8KTZs2IAuXbqkCLs3b95Ely5dULVqVTg6OqJx48YZUpP27nsSGRmJFi1aIDAwEN26dVNufAICAhAYGJihtXnXr19HuXLlUKRIEaX28+bNm+jatSsqVqyInDlzwt/fH99++63yb9IbSOfNm4e2bdsqT7KePHmCpUuXwt7eHt7e3li9ejUGDBgAGxsb5ab3U/fp6+uLIkWK4OLFiwD0zw26G/OxY8emqfyGcPPmTZQpUwb37t3DrVu3YGFhgSlTpgB4W5v7/fff48iRI6qV710MpAbk4+ODunXr4sqVKzh69Cg0Gg0mTZqkvH7+/Hm0bt0affr0yfSynTp1CiVLltSrPZs9ezbq16+P7NmzK7VQ/+bd3qxr166FRqOBqampUhsYHh4OR0dHFC5c+JMfz36qd08SuhNtXFwcxo4dCyMjIwwdOlR5fcWKFRg8eLBBgqGu/WKbNm0wbtw4AG9Dg4ODg3ICP3DggNJxJb2B/Nq1a7hw4QIeP34MGxsbNGzYEOPGjYO5uTmaN2+OHTt2AHjbJtnFxUUpU0ZJSkpC1apVsXLlSgBv2xGbmZmhZcuWmDBhAtq0aQNTU1MMGjQICQkJiI6OxqhRozB+/PiPPqL+t30CUGpZGzRoAFdXV722d3v27MEff/yhF04yo6kIADRo0AD29vZwdHSEkZERhg0bhqdPnyIuLg6rVq1Cnz590KhRI72/TbVq1dCvX79/3e6LFy8QGBiodNz69ttvYW9vrzxi3bt3r1IrnVG1aR9z9OhR9OjRQ+/RZ1JSEjp06IAiRYpgwoQJ6Wofr/vb6wKg7jFoYmIizp8/j9q1ayN37tzpbhqzefNmmJiYYO7cuRg5ciRKlSqFkiVL4vLly3rrXb9+PdUdmXT69esHjUYDW1tb5YZKJykpCUlJSYiKisrwDok3b95U2vKuWrUKPXr0wP79+3Hjxg0MHToUVlZW0Gg0CAsLM9g+k4dh3fHFxMSgYcOGyJs3r3I+iYuLw8uXL3Hx4kW9G6y03ljq/t2mTZuQL18+LFy4UO/vl5SUhIMHD6JGjRqwsbGBh4cHdu3a9dF9vjsSg66DmqmpKdauXYsHDx4ofQq8vLzS/WQgtd4te0xMDPz9/bF9+3aUKVMG3bt3V167evUq/Pz80twEJSMwkBrI5s2b4ezsrNSUtW3bFlWqVFEeX+lOzvfv31eriFi6dCny58+v14szNjYW9+/fR0RExAeD29WrV5VHTbqTxcOHD2FtbY0RI0YoJ1xd26fTp0+jQ4cOGXYcGzduVMqTPPgtXboUOXLkQNeuXZX33dCdWzp37owlS5Zgx44dMDMzUwJoQkICBg8enKLhflo8fPgQVlZWqFWrFk6dOoULFy6gQoUKqFq1KoYMGaJXGxsfH4/69etnaEcI4G2tb+vWrZX2V+fOnUP79u311lm+fDly586tN65feiVvDnDs2DG0b98eTk5OmDx58nvXz6ya+a1bt8LDw0Npv7x48WIloCdv16n7/F25cgUdO3ZEsWLFPlrGZ8+ewcHBAVu3bkV4eDhMTU2Vi+WrV68QEhKC2bNnIzExUZXOTE+fPoW3tzdy586Nhg0bpnh97NixsLCwQI8ePdLUbjT5e9asWTN4e3ujUqVK+Omnn5Tv9e3bt9GjRw9oNBpMmDAhVdvXvWcPHjzAjh07lBFBEhMTcfjwYQQFBcHKygpbt25NddmTbz+5ZcuWwdbWFk2bNtULpZn19/v555+h0WjQr18/JYB07NgRDRo0UNb566+/8MMPP2RIMB4yZEiK0QkGDBgAIyMjjBs37r03kel9byIiIlCsWDGlSVNcXBxu3ryJefPm6Q1x+M8//yg1+h8Ko8mvgck7q2q1WuzcuRP16tWDRqNRnti4urqmGL4qM/3888/4559/kJSUhJYtW0Kj0cDb21s5nyYkJKBly5bw9fVVrYzvw0CaBu9rY7Jnzx54eXkBeHtHXLx4cWV8zsOHD6Nfv35KJ5uMpvtSvduW68mTJ0rnCl3ZP1abFBMTg1q1aqFx48bK+IcA4OzsjE6dOgF4+1h16tSpyJ07t95j04zw4sULODs7w9LSUhkgXHcsCQkJaNKkCTQaDVxdXfHmzZt0ndR0703yUDR79mxoNBpoNBps27ZNWX7+/Hk4ODjoTYiQVqtXr4ZGo0HVqlXRsGFD5cL4vpPl+vXrYWVllSntf+7fv4/x48fD0tISZcuWRe3atREfH6/3+HnhwoUoUKAAbty4kabaDd17vnPnTrRu3RrVqlVDly5dlM/ejRs3EBoairJly6JHjx6GO7hU2L17N3744Qe92njgbfssOzs7+Pv7Y/fu3UrtZXx8PGbMmIGgoKD3ngN0ASw6Olp5z4YPH47g4GDkzZsXixcvVtY9d+4cSpUqpTQFUsu5c+fQtGlTFC1aFJMmTUrRGWLhwoVK7Vdq6D5HL1++hI2NDdq2bYuRI0di8ODBMDIyQps2bZTAFBkZibCwMIwaNSrV+3nz5g1KlCgBjUaT4nN08eJFdO3aFSYmJhg/fnyqtqv7/CYlJeHJkyd658zw8HCUKFECgYGB2LFjR4aPBPHu92/hwoVo1aoVSpcujWbNmuHkyZNwcnJCr169lIqGjBjz8+nTp2jYsCGMjY0xbNgwve/A3LlzkTt3brRs2TLF6BRpkfx69vfff8PNzQ0HDhxAbGwsxowZg0qVKqF48eJwcHD45KZzya+ByYd0S/73i4qKwp49e/D9999jzpw5OH36tCpD8Gm1Wly7dg3GxsYYM2aMsrxVq1bIkycPRowYgb59+6JNmzYoWLDgZzd8HANpKrz7Zb1x4wZevHiBly9f4tq1a7CxsUGfPn1gZWWF48ePK+stXboU7u7umRZIgbe1C2ZmZhg8eDBWrFihLA8PD0f27NlTDDnybzZu3Ah/f3/Ur18fx44dQ8OGDeHn56d3AomPj8fatWthaWlp8M5aupOM7r+3b99G06ZNkStXLmUMO52JEydizpw56X6Ul3yolkaNGul1Uhk+fDhy5cqFH374ASdOnMDatWvh5OSEkJCQdO1TJyEhAQEBAXB1dUVwcLAymULymteHDx9iy5YtsLS01Gs7a2iTJk1Cy5Ytld917a/Kly+PggULKgP168LXgQMHUKRIEeXxclqcPXtWGbUhNDQUpUuXRrFixZTPsS4YFy1a1KC9cD9Gd4GvUaMGNBoNvLy8lLbEunPD7du34ezsjKJFi+p1GATw3k5dyQOMj4+PMqTRhg0bULp0aVSoUAF79+5FXFwcTpw4ARcXF+VGMLO8e9OquxBHRUWhU6dOcHNzwzfffIPbt28bbJ9Dhw5F1apV9ZYdPnwY+fLlQ5cuXZRlaX0akZSUhO3bt8Pb2xtFihRJ0W7yzp07GDRoEAYMGJCqbep06dIFbm5ucHFxgbOzs9JO7++//4aHhwe8vLzw008/ZXhoOXr0KGrXrq38fvv2bRw4cAA1atSAk5MTvLy8YGVlhd9++82gYVT3XmzYsAGurq7KkHzZs2dXgp1uf1u3bkW+fPn0wntq6LaTvPmK7tpctmxZNGvWDPb29mjYsCF++uknREZGolGjRvjmm28+eR+6a2BQUJDeiAvvNpk5dOiQKk9B3/3b/frrrzAzM9Nruz927FgEBATAy8sLYWFhKZqlfA4YSD9R8j/4Tz/9hIYNG8LMzAyFCxdGq1atcPDgQUyfPh2mpqZ6NYdHjx6FqakplixZkqnlff36NcaOHYuvv/4ajo6OKF26NCZPnoyzZ89i/Pjx8PX1TVXj9fPnz6N+/fooUqQILC0tlTur5HeJWq3W4GNg6i6GcXFxmDZtGo4dOwbg7RSFAwcOVKZAi4qKws2bN1GpUiW9AJ4Wyf/W3t7eqF+/vt70l7dv38b3338Pc3Nz2NnZwcPDw2DtgnU1FXv37kXbtm2xfft29OjRA+7u7hg2bBgiIiKg1Wrh5+cHNze3DG87umvXLvz5558A9NuAbd68WelcknzosuXLl6NAgQKpvvlK3jZr5cqVCA0N1Xu9Y8eOMDc3V5pIPHv2LNN6hb57QwS8nQRAo9Fg9OjRSk/V5E8dfv/9d2XdD9UUJ19etWpVaDQaeHp6Ksu2b9+OcuXKwcXFBWZmZvDw8PjkIWkMJXkZ58+fj0GDBqF///7KRVmr1eKbb75BxYoV0bNnT+X7mV6DBw9WHicnJSUp34tff/0Vjo6Oqb7heV/YSkxMxIULF1ClShVYWVmluLlJzYxJyddt27YtKlSogN27d+PatWvKcEe6Y3jx4gV8fX3RqFGjVB1DWuzatQvm5uZwdXVN0QZ2zZo16NixIzQaTZpqsz/mwYMHsLKywrx585TP0eHDh2FtbY3KlSvjzz//VG4odJUbaQ3Fp06dwvLlywG8nT5aN/TX7t27MXDgQAwbNgxPnjxRvsNNmjRB3759U7WP8+fPIygoCNWrV9cbbk53bJs3b4a1tXWmTpudfP+3bt3C+fPnlXbCw4cPR2BgoNKZC3ibSdSaHfJTMJCmUv/+/eHp6YmuXbtizZo16NWrF5ycnODg4IABAwZg+PDhsLa2RpUqVeDr64vSpUtj0KBBGV6uDz16f/78OSIiItC3b1/UrVsXFhYWKFCgADQaTapnBImMjESrVq1QsWJFvccdGdWJJPkXx9fXF/Xq1dP7sr958wZz5sxBnjx5YGtri8KFCyMgIMBg+//hhx9QunRpvc5ZyU+YT58+xalTpwwydtu7j6uePHmC6tWro0ePHtBqtRg1ahQ8PDwQEhKCq1ev4ty5c5k2owvwdrpDa2tr5aKdkJCAw4cPIyAgADlz5kTjxo3RuXNnlCpVKl03BA0aNECFChWUx+HJa8CCg4Ph4+OTolYps9rhfffdd3rjgU6fPh0ajQYhISEfrB38UNmSL+/QoQPKli2L06dPw8nJCbdv31Zev3nzJvbt24dFixbhwoULql1M2rZti9KlS6N69eqoXbs2NBqN3nlt7ty5KFKkiDJTWnpNmzYNJiYmKYa0Onz4MBwdHVNVm5b8vT5//jw2b96MEydOKDdNjx49QvPmzZEjRw69oPGpoqKi4OTkhCtXruDOnTsoXbq0crM0ePBglCpVStlX8jnaM2OK0MTERJw4cQJVq1ZF/vz5U/SofvbsWYaNZXvhwgUULVpUeVqou05cv34d1tbWqFSpknKjn57vcFJSEtq1awc7OzvUqVMHtra2euE7+fUpOjoaY8eORf78+VPdox542y61TZs28Pb21mvHfvr0aVhaWqaqRt2QXr16BQcHBzg6OqJbt244evQooqKiUKVKFb3KEkNNs5tRGEg/ge4ioGs/d/ToUb2awd27d6NBgwYoVaoUpk2bht27dyMkJAQTJ07UqynJ6PIBb9s49u/fH19//TW2b9+uV2N57949nDt3Dq1bt0br1q3TtK/Y2FgMHjwYHh4eGDRoUKa0QenRowcqVKigPB4F3jZE1zUyv3PnDubMmWPw93ro0KHK+/TuF/jdx7HpsXfvXgQEBCg9k3WPwW/cuAFPT0+l+cHUqVPh6+sLPz8/nD9/3mD7/xT37t1DvXr1kDdvXvz888/K8gsXLqB79+4wMTFBvXr1lHbTaREZGYnu3bujQIECCAoKUpbrQum0adPg6empyjBHhw4dgpWVFZo2bao3vuy2bduQO3du1KtXDydPnkz1dkeMGAETExNcvXoVsbGxsLCwwO7du6HValWZbep91q1bB0tLS2Ukg7i4OKxZswZ58uRBt27dlPV27NiRphlpdBfJy5cvK+9hVFQU6tatC39/f6VDFwD88ssvsLe3T9UkF7rz4/z58+Ho6AgHBwcYGxsjICBAmTnrzZs3GDlyJDQajV7bu0/x6NEjuLi4oFevXjh06JAyeP/SpUthYWGh1BrfuHEDLVq0UCYOMbR/CxlXr15FixYtYGRkhDVr1mTI/t8ty5UrV5AnTx5lSDrdZzouLg716tVD8eLFYWJikuZhh65cuaJ3w6IbX7VNmzZ6437q3pe//voLLVq0QIkSJZSZBdNSmaK7Bnp6eiI0NBQXL15E+fLlM/3pRXKPHz9G9+7dUapUKQwfPhwmJib47rvvMH78eGg0Gr0mZ58zBtKP0H2Yt23bBo1Go5xMdMMA6eiGVcqMxzAf0rNnTzg6OqJhw4YIDAyEsbEx+vbtq1xI3jdwb1okJiZi1qxZ8PHxQcOGDdMVQj7m/v37cHNzU9q8Hjx4EMOGDYOdnR0KFSqk11vSEJK/L4MHD4arq6teDWhiYiJevnyJnj17GqSG8sWLF3BxcYFGo0GuXLnQuHFjBAQEYOrUqTh//jw6deqEgQMHKuv/73//Q9OmTTO8duV9n48nT55gyJAhynzqOjdu3MCQIUMM8iTg9u3bSge5r7/+Wu+10NBQVKxYUZXOAsDb2jndZATLly9XepBfv34defLkQd26dVNV8xAfH482bdooQ3glJSXB3d1db27sAwcOKB1r1KrVWLBgAWrWrKmUQVeO1atXw9HRMU1BXEd3Dj158iRKlSqFqVOnKmFi69ataNKkCRwcHNCgQQO0aNECZmZmWLhwYar3c+zYMeTOnRsrV67E48ePlbFFfXx8lFD68uVLzJ8/P1XTggJv35Nvv/0WhQsXxrlz59CkSRMMGTIEefPmVYbuAt52fHVzc/vkqSnTasyYMXo3dDp3797FV199BY1Gk6JDXkYZOHAgrKysUoTgbt264fTp0wgODkaFChVS/Sg5OjoaHh4eeiMh9OrVCx07doS9vT3atWv33uYj4eHhShg1xDWwatWqyJUrF8qWLZvmbaXF+67lV65cQfHixTF69Gg8fPgQzZs3R0hICExMTKDRaDK9KUFaMJB+ghcvXqBixYpwcXHRC1+6D4XuA7F69WqYmpri4sWLmf5oLTw8HJaWlrh8+bJSrnXr1sHCwkJv7DFDlmvdunVo1qxZipl6DCH5OISBgYFKjXO1atXQrFkzLFq0CM2aNUP9+vUNUpOUvJ2NzqZNm1CwYEFMnz5dqY0F3vYwLlSokF670vTYsmULGjRogODgYHzzzTf49ddf4ezsrEzFqtFoEB4erqz/7ugJhpb8M3Lt2jW9mbsSExMxb9485MqVCy1atFCWp6XZgm4/L1++1HvElpCQgJUrV6JgwYIoXbo0unTpgiFDhsDc3Fz5O2X090v3HXr3vb59+zbq16+PChUqYNasWXqdutIyG0vysVYBoE2bNkrnuL///hv58uXDrFmz0nwcafFu8P3pp5+QM2dOvcfNwNvacWtr61QHuHf38/TpU9jY2GDw4MEpmq5ERERg0aJFqF27NkJDQ1Pd1lG3j7Fjx8Lf31/vtfv37yvTjRqCm5sbatasiXbt2injBev+vteuXUOxYsUwbNgwg+zrQ+Lj47F48WIULVoU1apVS/EEa+bMmXB0dEShQoX0zmnplXworfPnz+Pu3bt48+YNoqOj0a1bN9jZ2aFPnz74+eef0a1bN+TLlw9PnjzBzJkzUalSpTSdw3XNh2JjY/WG0tq8eTOKFy+OunXrKrXrb968QUBAgMHHxv71119Rv359g4wQkBZLlixBUFCQ0vv/3LlzcHd3x6+//gqtVos///wTI0eORJkyZVS7kU8NBtJPtGnTJgQEBKBevXp6J+DkF8YVK1bA1tbW4B17PsUvv/wCV1dXPHnyBAkJCcoJYs+ePTA2NtYLNIZk6A/5+4LhpEmTUKtWLVhZWWH+/PlKZ6wJEyagcePG6S5Dr169oNFoUKVKFcyYMUNvoODvv/8euXPnRteuXTF58mTMmjULhQsXTnWD+I85e/YsGjdujBo1amDnzp1ITEzEX3/9hWnTpqFNmzYG3deHXLt2TW/cyAEDBsDJyQnZsmWDr68v9uzZozwu37JlC+zt7eHk5JSmMKqrGTtx4gS8vb1RokQJlChRApMmTVJGadi9ezd8fHyg0WgwceJE5aSfWY/sjx07hn79+ul12gLefuabNGkCa2trDBs2TO/1f6vFTP5E5d1HhbreuqNGjYK7uzseP34MJyenDB3P932Sz8al64X77Nkz1KhRA61atdJ73KybiUZXw5tWoaGhqFOnDoC378u5c+fQrVs3NGjQwGDtpOfNmwdnZ2fls6o7zn/++QfGxsZ686h/Kt25X7et//3vf/Dy8sLGjRvRsWNHFC9eHDVq1EDt2rVRoUIFfPXVVwY5lne9+5l79eoVwsPD4eHhgWLFiul1/vvf//6HsLAwgwYz3Wd5/fr1qFy5MvLly4dy5cqhbt26uHHjBuLi4jBv3jxl0oEqVarg4MGDAN7eKFSrVi1VT3x+++03vd/79++PsmXLYtGiRcq14MKFC6hcuTI8PDwwYMAAeHh4GOzG413pHXc6rRISEjBz5kw0aNAA2bNnR79+/bBx40bMnTsXoaGhes1a1JrNLbUYSFPhQ73sdCekOXPmoHHjxnptHTPLL7/8gjx58iiN5+Pi4pCUlITHjx+jVKlSBn+0nRHeDYbJ24TGxsYqx5aUlIQHDx6gZMmSBullPnHiRPTu3RsTJkxAnz59YGdnh5o1a2LChAl49OgRVq5cicDAQFSoUAE1a9Y06EwmyUVERKB169aoXLmyMlg38H9hJSNrBU+fPg2NRqMML7VlyxYULFgQv/76Kw4fPgwfHx8UKVIEy5cvVy4eJ06cgJeXV6qnGkxeM2ZhYYGQkBCsWrUKQ4YMgZOTE9q2bavc8R86dAgtWrSApaWl3uPPzLBkyRLky5cP7du3T3GjdPbsWRQoUAAFCxZURiH4N8n/duPHj0f9+vUREhKCJUuW6N1Q/fHHH3B1dUWFChXg4+NjuIP5BMnL2KhRI/Tt21epHV+xYgWqVasGPz8/fP/991iyZAk8PDwM0onwu+++Q82aNXHv3j18++23Sse2tm3bwsLCQpmWMT12796NnDlzYu7cuXrLb9++jTJlymDfvn2fvK2bN2++d9amhIQEeHl5KcMsLV++HMOHD0ePHj0MMj7x++jODc+fP8epU6f0hvI5deoUGjVqhHz58mH06NGYOXMm8ufPnyEjvly4cEEZCu/QoUNYvHgxgoKCUKxYMSV8Am/b2+o+Z+vWrUOePHn02mR/zKJFi9C4cWO9G7oLFy6gadOm8Pb2xoQJE5SnFjExMejUqROaNGmid1OfWTO5ZYQP3fD++uuvqFatGgIDA1GmTBkULVo0UzpTGxoDaSq928tO9+W6ffs2ihcvrhckMsqHgkmNGjVQrlw5vRqbmJgYFCtWLFPmOk+vDwXDcePGKYPgJyQkYPv27fD09ET9+vUNst8DBw7AxcVFCRZRUVGYO3cu7O3tlTvPQYMG4ciRI2maeSY1kncaGzhwYKYOXBwWFobs2bPjm2++wcKFC/HDDz/ovd6xY0dYWFhg0qRJSqeu1NYOvNvjuWPHjnqvb9y4EcWLF9cbrPzvv/9Gnz59YGZmlqqxA1PrfT1Q9+zZAycnJwQEBGDr1q3KzeeZM2cwdOjQVAUZ4P96qw8fPlwZpLx3795KU6Dr168je/bsKFGihIGOKvVatGiB8uXLp5jGMTw8HD169ICjoyM8PT3TPQmG7n3++eefUa5cOTg6OqJMmTJYunQpXrx4gXPnzqFy5cqpGi/x32qop0yZguzZsyM0NBRXrlzBhQsX0LdvX5QoUeKTHxk/ffoUFStWhIWFBYYPH45169bpvX7+/Hk4Ojpm+DB/V65cUcJobGwsypYtCycnJ2g0GnTt2lXp7HPv3j2MHTsWlpaWqFq1aobdTI8cOTJFDfDp06fx9ddfo0mTJspNbFJSEmJjY7FmzRr4+voq86p/qjt37igd53bs2KGMbvH8+XN0794dlSpVQmhoqN5n5sWLF+8dui2r0X1GX7x4gcuXL2PPnj1ISEhQjikiIgLr1q1DSEiIMnnL5zRP/adgIE2D5KFh8ODBePToEapWrZphj2SSSx5Gjxw5guPHjysXs5MnT6JevXooVKgQJk2ahClTpqBmzZrKDFKfuw8FwyJFiiB79uxo2bIlQkJC0L59e4wdO9ag+544cSI8PDyU4WQ2b96MvHnzYtq0aejWrRvKly+PIkWKZMqjj8zsNAbof6bWrFmDbNmyIU+ePO99XDxhwgTkzZsX7du3T1e7qc6dOyNfvnzw8vJCdHS0XmeZ33//HdmzZ8fZs2eV9e/fv4+wsLAU05UayruDmg8dOlRpG33jxg14e3vD3d0d33//PTZv3ow6derodbr6lNrrn376CUWKFFHaYoaGhsLc3BwVKlRA06ZNleP97bffVGn2A7ydbapEiRJ6tZLvhjWtVovnz5+n6eKe/DF38putEydO4LffftPrpf/zzz+jWLFiqRrTVvcZ2r17N8aNG4ewsDBs2LBB+Vv+/PPPMDMzg729PQoXLgwXFxel0+enOnToEH744QeUKlUKxYoVg4ODA7799lulBr9JkyYp2qsa0qBBg2Bqaqo0HWvXrh3q16+PkydPYuPGjbCxsUHNmjXx559/Ku/3s2fPMvTJ3dChQ1G6dOkUA8WvXbsWuXLl0pvhCHj7fU5tZ7jkNxuXL19G+fLlERwcrLedMWPGoGLFiujatesnPbnIKpJPoOHr64uyZcsiZ86cqFatGn799dcUzaa2bduWZXrWJ8dAmka60ODr6wtTU1M4Oztn6v67d++uTH1Xr1495Y78xo0bGD58OBwcHFC1alW0adMmxUnic/ahYDhjxgx069YNPj4+KFSokME69uhOcrdu3UKdOnUQHh6Oe/fuIVeuXMoc2YmJiXj27Jkybl1mychOY8m927Hm7NmzcHR0ROHChbF///4UgWT58uWfXFP5bo2VVqtFUlISdu7ciapVq8LExETpDatb99KlSyhWrJheZyogc8Zt7NSpE8qVK4eNGzfq7S82NhY9evSAq6sr7O3tUa1aNeV79Sm932NjYxEaGqoMKbRw4UJlRrfp06cjd+7cqFKlit50tGr4448/YG9v/96B569du5bm2XQA/XbDTZs2RYkSJeDr64upU6fqzW5z+/ZtrF27FiYmJqnqxKTb/ubNm2FhYYEmTZqgWrVqcHNzQ58+fZQbu+joaGzfvh3Hjx9P1+x5T548wfHjxzFo0CC4u7sjf/78qFWrFnr06JGm4aNSo27dujAxMcHatWvRr18/vXai//zzDypUqABnZ2ds2LDB4B15ktO951u3bkXZsmXx+++/652v/vnnH5QrV05v5sK0evemb/bs2QgICEBgYKBeB9PFixejQoUKqFu3rvL4/ksRGBiI2rVr48aNG3j+/Dly5swJFxcXzJo1673NSLIaBtJ0+uWXXxAUFJSpvex27NgBe3t7HDp0CHv27EHz5s3h6emJb7/9VinH69evER8f/9mMZfgxnxIMExIS8OTJkwwLhj/88APy5MmDfPnyoUePHkhKSlJ9AOGM7hmZ/CQfHh6unNSeP3+OSpUqwd7eHps2bUpTOXTbfv36dYrBt+Pi4nD+/HnUqFEDFhYW2LZtG+Lj4xEfH4+ffvoJZmZmBp2K8lOsXbsW1tbWyuNOrVaLY8eOYfXq1Upt3t9//41//vlHCav/9v26du0azpw5o7SxvX//Pi5duoSoqChUqFABixYtAvD2saqLiwtq1aqV5h7rhrJr1y7kz59fqXVKfjO7atUqjBgxIk03Brrv0cOHD2Fubo6OHTtiwYIFaNOmDTw8PNCuXTulqdG4ceNQvXp1TJ06NVXbBt6G2UKFCikjExw6dAjZsmWDi4tLito0Q7p79y7OnDmDdu3awd/fHxqNBtOnTzfY9nXfpZiYGOWzOHToUGg0GuTMmVOZQlm3XmJiIr766ivkzp0bS5YsyfDz2MuXL1G3bl2ULFkSK1euxL179xAbG4vhw4fD3t7eYDeTupsJnQ0bNqBBgwaoVq2a8n0C3j5lWb16tUH2+blYvXo1KlasqITsjh07wsPDAx06dECOHDkwevToFDXRWQ0DqQFkRi+75IFt1KhRSkgD3t6pDxw4EJUrV0afPn0M0glATWoGw6+//hre3t54/Pix6mE0oyU/vt69e8Pf3x+//fabXvhs3LgxcufOjR9//DHNM1JVqlQJuXLlQr9+/fDTTz/pDY/05MkTtGzZEkZGRqhUqRJatWqF8uXLKxeTzBw+bdKkScrg1kePHkVoaCisrKyU2st3v+f/9vkICwtDhQoVYG5ujooVKyrj6AJvO2EUKVJEmfXp8uXLaNmypUFqkVLjQ+UPDAyEjY2N3uQLd+/ehb29vd7sNGnRu3fvFGM1L1myBBUrVsTo0aMBvG2nmdbB42fOnKk0nbp//z7s7e0xcuRILFy4ECYmJqhZs2aGDwz/8OHDFCMzpEfy4QXbtGmDqlWronPnzgDevncajQbBwcHv7VzYp08fg36udN/H/fv3Y+zYsWjdujXmzZun1Iq2b98eDg4OKFq0KMqXLw9bW1tlSCZDtN8cMWIEHB0dMW/ePGXZwYMH0aZNG3h5eWHcuHEp9vMlnMeTkpJw6NAhZczc6dOno0SJEkoNv6urK3Lnzo1+/fplqSei72IgzUJiYmJQs2ZNWFhYoFWrVilenzJlCjw8PFC/fn2DjjGnBrWC4dKlS2FlZaU8Lv4STmYfM336dFhYWODo0aNKG9nknbeGDRumPIJMbUB8+fIlvvrqKwwbNgx9+/ZFcHAwzMzMEBoaih9//FGp9Z49ezZMTU3RsGFD5RFjZtfur1+/HhqNBp06dYKjoyNCQkKwa9cu3L59G2ZmZsqA2h+jm9Fty5YtWLhwIZydnVG+fHnlsfStW7dQqVIldO/eHStWrIC3tzeaNm2akYeWQvKL9pMnT3D37l3l/b5x4waCgoKUDjJNmzZFhQoV0jTpx7vNQXr16oXAwEAkJCTofZamTZuGvHnzpuoRev369VNM1fjw4UNlZrPmzZvrjZXr6emJUqVKZdij9Iy+efLz80OjRo1w/PhxvRrHXbt2IU+ePKhTpw7Onj2bYees5PPRm5mZwc/PDw0bNkSuXLlQq1Yt5Zy5Y8cO/O9//8Py5cuVJh6G6kx07Ngx9OzZExUrVkRYWJhyrFevXkXv3r3h4eGBfv36ZWpn0IySvN0o8Pb6/+DBA7x58wa1a9fGpEmTALytEGvfvj1GjBjx3skAshIG0ixm06ZNqF69OooWLYolS5ak+KL/+OOP+PHHH1UqneGoGQxbt26NUqVK6bVr+1LdvXsXrq6uyrBg9+7dw/r16xEYGIh27dop6/3000+p7lGuM378eNStW1epYQwPD0doaCiyZcsGZ2dnDB06FPPmzcOcOXOQN29efP311xn+937fBTIpKQlz586Fv78/Zs2apXSwuXfvHlxdXfWGr/mQd2d0A952QjEyMtJbtmzZMvj4+Cg9+DNT8uDUq1cvVK1aFcbGxujSpYsy883r16/x448/ol69emjXrh0mTpyYrn0uX74cN27cwNixY1GmTBnlvdWV5cSJE3B2dsatW7c+ufyHDx9WQrSu9j4pKQmJiYmIjo6Gl5eXMqvT69ev0a5dO6xYsSJdx6GWb775BqVKldKraEge6q9fvw4HBweULVsWe/fuzbBaspcvX8LV1RXffvutsuzmzZtwc3ODq6trmqaOfdfHgv3t27fxzTffwN3dHR07dlTek8ePH+Pbb7+Fj48PRo0ahbi4uCxfoXD//n1Ur15d76nnmzdvUL16dQwfPhyvXr3C9evXUbJkyVSNRvG5YiD9jH3oi3nx4kU0aNAAPj4+mD59umqzRGQ0tYLhgQMHEBAQkCVmtkiv58+fo2LFipg6dSquXr2K1q1bw8PDA506dYKVlZXebDPpUa1aNXTv3l15tNe7d2+UKlUKI0eORPPmzZEjRw507doVu3fvRtGiRWFvb59hnTGSH8+UKVMwaNAgrFq1KsXnLCkpCQ8fPoSfnx/q1q370e0mn9EtebBycXFBvnz50KxZM9StWxdfffUVNm/ejPHjxyM6Olq1gbXDwsJgb2+PjRs34sCBA7C1tYWnpyfmzZundBo0RLBZtmwZNBoNbt++jadPn6JYsWLw9vbWqw2dM2cOHBwcPvnJTlRUlDIW9OrVq6HRaPRqsGNjY+Hv74+2bdviwIEDmDhxIgoVKpTmZidq0Wq1iIqKgq+vLxYsWPDedXRPNRISEpT53DNquJ/IyEi4uLgoY0TrPh9v3rxB8eLF0atXLwBprxHVfTefPn2q3Ezs3bs3xcQuz549w+TJk1G0aFG9ESq0Wi1CQ0NRuXLlL+K6+Oeff8LLywtlypRRav6Bt+dPMzMzVKtWDdbW1ujSpYuKpTQcBtLPVPI7uxUrVmDUqFFo2bKlMqPI48eP0bFjR7i7u2PUqFGfVLOQ1agZDDN6vNHPRUxMDHr16oUKFSrAyMgInTt3Vto2jho1Smmrlla6C9PGjRvh5+cHrVaLlStXwtjYWNnPs2fPcO3aNeVidPz48XTv91O0atUKJUuWRLly5eDq6oomTZrodSratGkTgoKC9GZ4+diFVjejW/369XH06FE0aNAANWrUwLZt23Dt2jUsWrQIXbt2RalSpVCgQAHVvrd//vknihYtqgSXpUuXwtzcHLVr10ahQoXw3XffpatTWfLhhlasWIH58+crr125cgWenp4wNTVF06ZN0aBBA5iamqZq8o527dqhRo0aAN7W8rdo0QK5cuXCsmXLlHXmzZsHd3d32NraonDhwsrnLat5/Pgx8ufPrwwg/74bxFevXmHkyJEA3s4ul166fdy5cwf79+/HwYMHERcXh4cPH8LW1hbTpk1T1tXdUHXq1Clds8olv+YVKVIEDRs2RExMDAIDA+Hp6ak3GY2OruNW5cqVlc6umzZtQp48edI0la/a3leje+zYMbRr1w6FChXCnDlzlOVTp07FiBEjMHv27MwsYoZiIP3MjRs3DkWKFEGrVq3QuXNnaDQa5c4xKSkJI0aMQLFixRAaGpqlB/39kP9KMMwMydtkvn79WrmQPH/+HIcOHdKbGQsAqlevrtR4pFdcXBxq1aoFJycn5MiRA4sXL/7X9TPyUZtWq8WdO3cQEBCg1NKtW7cO9erVQ40aNZRJJE6fPo05c+Yo4zd+aptW3YxuRYoUgaWlpV5Nr+647t69m+Hjy+pcvnwZy5cv11t25MgRjBo1CsDbJhSWlpZKYCtXrhzs7e0REhKSrt7Rz58/h6WlJSwsLFK020xKSsKUKVPQuXNnDBo0KMVn72M2btwIFxcX5TP87NkzjBw5EhqNBkOHDlXWO378OE6fPp2lex8/e/YMVlZW/zr28uXLl+Hp6WmQEUh015ELFy4oTwd+/vln5fUZM2bAwsIixXe4Xbt2aNGiRZqeqCT/vgcFBcHT01Mpx/Hjx9GuXTvUqlULkydP1lt3woQJCAkJUWrHtVotdu3alarhwj5H7z6ZuHz5MoYMGQI7Ozu9z3dWb5LwLgbSz9jBgwdhYWGhfNl+++035MmTJ0UP1JkzZ6ZrfED6cr3bqQR4W/NZt25d2NnZoUOHDilqps6fP482bdqgZMmSBilD8o4HxYsXVx4vZWYPeuD/LrRv3rzBs2fPUkzze+DAATRv3hw+Pj4phhxKbVkjIyPRqlUrVKxYUa82KSEhIdMvIqNHj8aQIUP0lj1//hz//PMPtFotWrZsicGDByvlatGiBYKCgtI03WXyY0tMTMSUKVNQsGBB+Pn5KU86kt84p+a9SL7uuXPnYGxsrBdkX79+jcWLFyNPnjwIDg5Oddk/R1qtFnFxcQgICICLiwtOnTqlvA/J34/ly5fDx8cn3eNuJq/ZdnR0xOjRo/V678+ePRsrV67E8OHDUaxYMXTq1AlLly7FoEGDYGxsrIzMkNbP+NChQ1GoUCG8ePFCWaZ7YtKtWzd4enpiwIABuHfvnjIhTVZtFwz83/uU/HhXrVoFLy8vZQINnbt376Jbt24wMjLCV199pVpTn4zEQPoZ++2335QhTHbu3Il8+fIpU9WdO3fuo7VM9N+mu/A/ePBAGUZp3LhxKFCgAKZPn45x48ahYcOGqFSpkvKY78KFC+jZsydq1Khh8La7sbGxaNOmjd4c7ZkVznTvxblz51C9enV4enrC3t4+xc3d33//jZCQEJQuXVqZrjatks/oNmjQINV6/ibvaJJ86kjde9KwYUN06dJF+T0gIAD79+9P9X6Sh/a//vpLucjqZg+qXr16ivFbPyXo6z4jujaBunIGBgYqNw667cTHxyM8PByOjo4oWLBghg4Kn5nOnDkDc3NzVK1aFfv371fex1evXmHPnj0wMzMz6LibtWrVQuPGjfW+nyEhIciWLRtatGiB2bNnY/ny5fDy8kKxYsVQp04dZVKHtD6pO3HiBIyNjdG9e3dl2enTp5E3b15lgP8xY8bA29sbxsbGcHZ2hre3t7JuVq4tdHd3R8OGDQG8He2jSpUq8PLySjGyx++//46SJUuicuXKesOyfSkYSD9jP/30E8qUKYO///4btra2GD9+vPLatm3bUK1aNWUQb6LkdCfnxMREWFlZYcKECbh//z5Kly6tV6t07do1hIWFoVKlSsqQIWfOnMmwyQceP34MOzs7gzUF+BS6sBIbGwtra2t06NAB3bp1g7u7O5ycnPDbb7/prR8REWGw9oaZPQ1scrNmzVI6kWm1Whw6dAimpqaoUqWK0nno9evX6NOnD9zc3NCyZUt4eXmhfPnyqd5X8jDQt29fNGjQABs3bgTw9v0/evQoXF1dUaxYMaU3cGoCxL59++Dm5oY6deqgWbNmmDp1KhwcHFC5cmUcPnwYZ8+eRUxMjBJADx06hIEDB6b6OD5nu3fvRvHixWFhYYGvv/4ao0aNQqNGjeDk5IThw4cbbD/79+9H+fLl9W7WJk6ciPz582PJkiXw9/dHgwYNlKZjT58+VTpWpScUvnnzBqGhofDx8cHgwYNx69YtlChRAv3791fWSUxMxMmTJ7FkyRIsX75cebSdlZurJSUl4ZdffkGhQoXg5+eH58+f49ixY/jqq6/g7OysVwO8e/dudOrUKV0zjH3OGEg/I+/WFrx48QL16tWDmZmZ3rzZumEfunbtmtlFpCwg+UXBy8sLfn5+AN4+8ilYsGCKgcFjYmJQqlQp9OzZM1PKFxoair59+2bKvpK7ePGi3sXt0KFD6NChA0qVKvXBeZ8NVeuSWdPA6jx48AAFChSAk5OT8sj11atXCA8Ph4+PD4oUKaLcgLx+/Ro9e/ZEixYt0KlTp3SVcebMmbCwsMDBgwdTTO977do11K9fHxqNRq/H8KdYv349Zs6cib59+6JLly6oVauWMiNS3rx54ejoiPz586N06dLK7DVZZZa61Hj06BG6d+8ONzc3FC5cGJ06ddJr32kImzdvhpmZmV7t8oEDB5QOf7du3UJQUBCKFSv23sH40yMpKQkLFixAlSpVYGFhoXRcAz484kNWDqM6Wq0WR48eReXKlZXhz27cuIGQkBAUKVIEHTp0wOLFi2FnZ6c35NaXhoH0M3D16lWlxiL5BVCr1WLOnDkoU6YMmjZtis2bN+OXX35R7pyI/k1oaCjy58+v/B4ZGQlfX1+MGDEixRh9/fr1Q+fOnTPlsVdiYqLe7DOZYdSoUciWLRuqVKmidwG7ePEiBg0ahLJlyyIkJCRDy5DZo0VcunQJ/v7+MDU1xZ49ewC8fb+PHz+O4OBg5M+fXy/MvDtYfWpFRESgcuXKej3dAf1z2tOnT9GpU6c0j2mbfJu3bt2Cu7s7tm/fjuvXr+PXX3/FunXrMGTIkCw/W93HxMbGZtjNzaZNm2BkZIRTp06leE333dm0aRNq1KiRYaNE7Ny5E15eXqhdu7Yyskzy/X8pdMej+46sXbsWGo0GZmZm2LVrF6KjozF37lzlMX2PHj3ULG6GYyBVWUxMjNJeJ3lP0ORfvAULFqBevXrInz8/3N3dERwcbJABiOnLozuxTZo0CRqNBrlz59broDNlyhQYGRlhypQpSpvG169fo1KlSilmvcmssma0pKQkbNu2TZlV5t32kffv38eoUaPg7+//xYzqoHtvb9y4gdatWyNHjhx6Pe0vX76Mfv36IX/+/Gl63BsTE6OM/Zh8WcmSJbF06VK9MgBvm2rs3bsXWq02zaH33c48sbGxKFmypEEfV2cVGfnduXTpEszNzdGrVy+9cWHfnWq4QYMGGRoQdaNVVK9e/b1DPmVFyTt4RkZGAvi/cWQfPnwIa2trjBgxAv369YNGo8HcuXOVf5tRzag+Jwykn4GNGzfC398fQUFBeuMg6j6ouv8/cOAAzp0798XdJZJh6C70v//+O7Jnz441a9Zg1qxZsLCwQIcOHZT1Zs2ahWzZssHf3x+1atVCrVq1vsga93efNpw8eRJff/018uXLl2IYpOjoaDx58gRA5vf+NzTd+eHu3buoU6cOmjZtily5ckGj0ejddNy9e1e5cUl+3vkUDRs2TNHM4eHDhyhVqhRGjBiRYv0zZ86gbdu2uHbtWhqOKCXd33bkyJGoV6+esjyr/+0+F2PHjoVGo0FoaKheLeiLFy8wZcoU5M2bF1euXAGQse95REQE2rZtiypVqijDlGV1ySuhko+O4+zsjE6dOgF4O9zh1KlTkTt3br3pb790DKSfiQ/dDeraQW3YsAF2dnZ6jy+I3nX37l29sWqfPHmCZcuWoUiRIqhWrZrSO/f48ePo378/QkJC8N1332W5GWz+jS6QvXz5Eq9evdLrAHD16lWEhobC1NT0i7nAvY9Wq0WJEiXQvXt33L59G5cuXcLMmTORL18+NG7cWDmvREVFpRhp4GPbBYCjR48qy5I/fp8/fz40Go0yz3ZSUhJevXqFmjVronHjxoY4ND0HDhyApaUlrl27lqV7WX9utFqtXjOXQYMGYfLkyQgODkbBggWxZcsWAJnzCD02NhZdu3ZNMXRZVqarhKpfvz6OHTuGhg0bws/PT292qfj4eKxduxYFChQw2I3c546B9DMSERGBNm3awNvbG5MnT1aWnz59GpaWll9cr1HKGLt27dL7PTY2Ftu2bYObmxtKliypPGr9EmvadUHr0aNHCA4ORoUKFVCxYkW9Wrv79+9j+vTpsLKy+qQpQbOis2fPomTJknpDw7x+/Rpr165Fjhw5UKtWrVTPxKSrCbt27ZrSRnP+/PkoWbIkZs2apQzz9N133yF37tzw8vJCvXr14OvrmyE18FqtFpGRkTAxMcGmTZsMvv3/usTEROzevRuenp4oWrQoLC0t0bNnT2zfvh1A5g6zlLwW9kupBT9//jzq16+vTKCha0KVvDOeVqtVntz8FzCQfmZ0Yxd6enoiNDQUFy9eRPny5dGoUSO1i0ZZWFJSEo4cOYL69evDxsYmxVBHX4LkFypXV1c0a9YMa9euxdy5c6HRaNC4cWOlY9HTp0+xePHiL7b94eXLl2FkZKSMW6zz4sULeHt7Q6PRwMvLK9XbffjwIQoUKAB/f38cOHAAz58/R6dOneDm5obRo0crbQ7PnTuHkJAQdO/eHZMnT9abgMDQRo8e/UXMW/65SkxMRGxsbIpgpEaN9JdWC/6hCTS+xMqCT6EBAKHPSlJSksybN0/Wrl0rJ0+elBIlSsj58+fVLhZ9Af7++2+ZMWOGLFy4UI4dOybu7u6i0WjULpZBffPNN3Lo0CHZv3+/iIj4+fnJmzdv5MGDB2JqaiqbN28WBwcHiY+Pl5w5c4qIiFarFSMjIzWLbXCdOnWSW7duyZgxY6R69erK8n79+km1atXEz89PzM3NU7XNNWvWSKtWraRKlSpiYWEhXbp0kYYNG8qYMWNk/fr1UqNGDenWrZuULVvWwEfzYQC+uM/w54jvc8Z4/fq1jB49Wvbv3y++vr4yfPhwyZ8/v9rFUgUD6Wds/fr1smzZMlm5cqWYmpqqXRzKwpJfTG7fvi3nz5+X+vXrq1wqw3j06JHcv39fihYtKjlz5pTx48eLq6urNGvWTPr06SOHDh2SHTt2yKFDhyQ4OFiyZcsm+/btk6pVq6pddINISkqSbNmyycuXL+XZs2eSJ08eMTU1lfPnz8ugQYMkX7580qBBA6ldu7bs27dPBgwYIOHh4VK5cuVU7ysxMVHq1asnkZGRUrJkSXn48KG0a9dOunXrJkuXLpWZM2eKq6urtG/fXvz9/TPgaIm+PLpKqHXr1omFhYXMnTtXChcurHaxMh0D6WcuLi5OjI2N1S4G0WcpOjpamjRpIsWLF5euXbuKu7u7PHz4ULRarbx8+VKCg4Nl+vTpEhAQIOfPn5fBgweLo6OjDBw4UEqVKqV28dNNF0avXbsmffr0kcuXL4uDg4NYW1vL7Nmz5d69ezJ79mw5ePCgREVFiZWVlQwYMED69euX6n3papT37dsnS5YskZYtW8qmTZvk6NGj0rBhQxk+fLgcPHhQhg8fLiIiS5YskTJlyhj6kIm+WOvWrVMqonLnzq12cTIdAykRZVmVKlWS4sWLS//+/VPUeJ46dUpq164tp0+fFnt7e9m1a5dMmDBB1q1bJwUKFFDCXFalq/WOi4sTJycnCQwMlGHDhsnGjRtl0KBBsnTpUmnfvr3ExMQIADl79qzY2dlJiRIlUrX9mJgYvSc0T58+lSZNmoiLi4vMmTNHxowZI1u3bhU3NzcZN26cPHr0SLZu3SpDhgzJqEMn+mK9efNGcuXKpXYxVMFASkRZUp8+feTkyZOye/duyZMnj7L8wYMH8uLFC7G2tpYGDRrIs2fPJDg4WGbOnClhYWEybNgwFUtteLNmzZJNmzbJ7t27RUTE3d1dXF1dZenSpZKYmCjXr1+X0qVLp2qbujC6b98++f7778XPz0+aN28uefLkERsbG7l586a0atVKxo4dK7Vr15Zp06bJhg0bJGfOnLJo0SIpVqxYRhwqEX3BsqtdACKi1AAgz58/l0uXLklISIgSRi9fviybNm2SKVOmSJ48ecTa2lqGDh0qmzZtkiNHjsigQYOUMJoVO2joOl5dv35d4uLixMXFRUTeNuvRPd6rX7++5M6dW+bMmSMiInv37pVjx45Jjx49xNLS8pP3pdFo5OXLl9K7d2+5dOmSHDx4UI4dOyavXr2SwMBAqV27tri4uMjOnTuldu3aMnDgQLGxsZENGzaIlZWV4Q+eiL54DKRElKVoNBrJkSOHPHr0SF69eiUiIjdu3JCQkBDJnTu39OzZU0qXLi1z586VjRs3yooVK+TVq1fKY+es+qjeyMhIIiIipEqVKlK+fHkJDQ2VOnXqSPHixWXbtm3Sv39/uXbtmuzevVvy5s0rIiI7d+6U69ev69Ugf6p8+fLJpEmT5Mcff5ScOXNKqVKlpFKlSjJq1Cg5ceKE7N+/XyIiIiQwMFACAgKkdevW8tVXX6VpX0REDKRElOXky5dPqlWrJv369ZMdO3bIzp07pUmTJtK3b1+lLemePXvkzp07ki1bNiWMAsiSYVRn37598vjxY3n9+rX8+OOP8vTpU2nevLnMmDFDZs2aJevXrxd7e3tJTEyU9evXy4IFCyQ8PDzNHSSCgoKkcOHCMmbMGDl8+LBUr15dzp07J2fOnBEPDw85deqUBAQEKOszjBJRWrENKRFlWdOmTZO7d+9KiRIlpFevXnqvhYWFye3bt2XJkiVfTCeB9w271L59e6levboMGzZMdu7cKXXr1pXnz5/L9evX5ZtvvpFu3bqle7+RkZEyaNAguXr1qrRu3VrppZ+QkCA5cuT4IsdxJaLMxUBKRFna+9qDbtu2TVq2bCm//fab+Pn5Zck2o+/60LBLf/31l/j7+0vXrl3lwIEDcvToUSlUqJB4eHhI7dq1Dbb/5AN4+/j4yIgRI/6zA3gTkeExkBLRF+Pq1aty8uRJGTp0qPTr108GDRqUZcPopw67NHr0aNm5c6dUqFBBRo4cmaEDanMAbyLKKHzGQkRfhKSkJJk9e7bMmjVLevbsKYMGDVK7SGmWfNil4OBgmThxoty6dUsiIyPFwsJClixZIidPnpRdu3bJ2LFjpXnz5nLp0iXp2LGjnDhxIsPKlS1bNunTp4/06dNHcuXKlaqe+0RE/4Y1pET0xYiPj5dr164pQyJl5baNL1++FC8vL7l06ZIYGxtLYGCg3rBL06dPF3Nzc5k6daqIiKxcuVI2btwoS5YsERMTkwwv3395AG8iMjwGUiL6ImXVR/XJbd269b3DLpUrV04Zdmnnzp1KT/fY2Fj2dCeiLInDPhHRFymrh1ERDrtERP8drCElIvrMcdglIvrSMZASEWUBHHaJiL5kDKRERFkEh10ioi8V25ASEWURumGXbGxsZP369Rx2iYi+GKwhJSLKgjjsEhF9SRhIiYiIiEhV7JZJRERERKpiICUiIiIiVTGQEhEREZGqGEiJiIiISFUMpERERESkKgZSIiIiIlIVAykRERERqYqBlIiIiIhUxUBKRERERKr6f5SOXgTsE+DtAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names = data.index\n",
    "values = data.values\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(names, values)\n",
    "plt.xticks(rotation=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Изучите распределение операционной системы\n",
    "\n",
    "- Постройте график\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OpSys\n",
       "Windows 10      1072\n",
       "No OS             66\n",
       "Linux             62\n",
       "Windows 7         45\n",
       "Chrome OS         27\n",
       "macOS             13\n",
       "Mac OS X           8\n",
       "Windows 10 S       8\n",
       "Android            2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = df[\"OpSys\"].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "names = data.index\n",
    "values = data.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5, 6, 7, 8],\n",
       " [Text(0, 0, 'Windows 10'),\n",
       "  Text(1, 0, 'No OS'),\n",
       "  Text(2, 0, 'Linux'),\n",
       "  Text(3, 0, 'Windows 7'),\n",
       "  Text(4, 0, 'Chrome OS'),\n",
       "  Text(5, 0, 'macOS'),\n",
       "  Text(6, 0, 'Mac OS X'),\n",
       "  Text(7, 0, 'Windows 10 S'),\n",
       "  Text(8, 0, 'Android')])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(names, values)\n",
    "plt.xticks(rotation=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 Изучите распределение компаний производителей CPU\n",
    "\n",
    "- Постройте график\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Cpu_Company\n",
       "Intel      1240\n",
       "AMD          62\n",
       "Samsung       1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = df[\"Cpu_Company\"].value_counts()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "names = data.index\n",
    "values = data.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x19e34523e60>,\n",
       "  <matplotlib.patches.Wedge at 0x19e3447bbc0>,\n",
       "  <matplotlib.patches.Wedge at 0x19e343304a0>],\n",
       " [Text(-1.087334574268623, 0.1664437550648043, 'Intel'),\n",
       "  Text(1.0869301036009773, -0.16906492801870213, 'AMD'),\n",
       "  Text(1.0999968025497042, -0.0026522406427521663, 'Samsung')],\n",
       " [Text(-0.5930915859647033, 0.09078750276262053, '95.2%'),\n",
       "  Text(0.592870965600533, -0.0922172334647466, '4.8%'),\n",
       "  Text(0.5999982559362023, -0.0014466767142284542, '0.1%')])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(values, autopct=\"%.1f%%\", labels=names, wedgeprops=dict(width=0.25))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 задача"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Изучите взаимосвязь компаний производителей ноутбуков и компаний производителей процессоров, используя сложенную или многорядовую столбчатую диаграмму\n",
    "\n",
    "\n",
    "Процессоры от Samsung не изучайте"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 Постройте график в абсолютных величинах\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Cpu_Company</th>\n",
       "      <th>Company</th>\n",
       "      <th>AMD</th>\n",
       "      <th>Intel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acer</td>\n",
       "      <td>10</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Apple</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asus</td>\n",
       "      <td>11</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chuwi</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dell</td>\n",
       "      <td>0</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Fujitsu</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Google</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HP</td>\n",
       "      <td>25</td>\n",
       "      <td>249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Huawei</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LG</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lenovo</td>\n",
       "      <td>16</td>\n",
       "      <td>281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>MSI</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Mediacom</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Microsoft</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Razer</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Samsung</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Toshiba</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vero</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Xiaomi</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Cpu_Company    Company  AMD  Intel\n",
       "0                 Acer   10     93\n",
       "1                Apple    0     21\n",
       "2                 Asus   11    147\n",
       "3                Chuwi    0      3\n",
       "4                 Dell    0    297\n",
       "5              Fujitsu    0      3\n",
       "6               Google    0      3\n",
       "7                   HP   25    249\n",
       "8               Huawei    0      2\n",
       "9                   LG    0      3\n",
       "10              Lenovo   16    281\n",
       "11                 MSI    0     54\n",
       "12            Mediacom    0      7\n",
       "13           Microsoft    0      6\n",
       "14               Razer    0      7\n",
       "15             Samsung    0      8\n",
       "16             Toshiba    0     48\n",
       "17                Vero    0      4\n",
       "18              Xiaomi    0      4"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.crosstab(index=df[\"Company\"], columns=df[\"Cpu_Company\"])\n",
    "data = data.drop(columns=[\"Samsung\"]).reset_index()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x19e347c1760>,\n",
       "  <matplotlib.axis.XTick at 0x19e34332420>,\n",
       "  <matplotlib.axis.XTick at 0x19e34331b80>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a2450>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a2720>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a3590>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a3c50>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a3fb0>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a2d80>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d47d0>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a2ae0>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d5700>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d5e20>,\n",
       "  <matplotlib.axis.XTick at 0x19e343a31d0>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d55b0>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d6840>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d6de0>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d7560>,\n",
       "  <matplotlib.axis.XTick at 0x19e343d7dd0>],\n",
       " [Text(0, 0, 'Acer'),\n",
       "  Text(1, 0, 'Apple'),\n",
       "  Text(2, 0, 'Asus'),\n",
       "  Text(3, 0, 'Chuwi'),\n",
       "  Text(4, 0, 'Dell'),\n",
       "  Text(5, 0, 'Fujitsu'),\n",
       "  Text(6, 0, 'Google'),\n",
       "  Text(7, 0, 'HP'),\n",
       "  Text(8, 0, 'Huawei'),\n",
       "  Text(9, 0, 'LG'),\n",
       "  Text(10, 0, 'Lenovo'),\n",
       "  Text(11, 0, 'MSI'),\n",
       "  Text(12, 0, 'Mediacom'),\n",
       "  Text(13, 0, 'Microsoft'),\n",
       "  Text(14, 0, 'Razer'),\n",
       "  Text(15, 0, 'Samsung'),\n",
       "  Text(16, 0, 'Toshiba'),\n",
       "  Text(17, 0, 'Vero'),\n",
       "  Text(18, 0, 'Xiaomi')])"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "n_ticks = np.arange(len(data[\"AMD\"]))\n",
    "offset = 0.2\n",
    "w = 0.4\n",
    "\n",
    "plt.bar(n_ticks - offset, data[\"AMD\"], width=w)\n",
    "plt.bar(n_ticks + offset, data[\"Intel\"], width=w)\n",
    "\n",
    "plt.title(\"Ноутбуки\")\n",
    "plt.xlabel(\"Компания производитель ноутбуков\")\n",
    "plt.ylabel(\"Количество ноутбуков\")\n",
    "plt.legend([\"AMD\", \"Intel\"])\n",
    "plt.xticks(n_ticks, data[\"Company\"], rotation=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Постройте график в относительных величинах"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Cpu_Company</th>\n",
       "      <th>Company</th>\n",
       "      <th>AMD</th>\n",
       "      <th>Intel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acer</td>\n",
       "      <td>0.097087</td>\n",
       "      <td>0.902913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Apple</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asus</td>\n",
       "      <td>0.069620</td>\n",
       "      <td>0.930380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chuwi</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dell</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Fujitsu</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Google</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HP</td>\n",
       "      <td>0.091241</td>\n",
       "      <td>0.908759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Huawei</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LG</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lenovo</td>\n",
       "      <td>0.053872</td>\n",
       "      <td>0.946128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>MSI</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Mediacom</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Microsoft</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Razer</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Samsung</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.888889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Toshiba</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vero</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Xiaomi</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Cpu_Company    Company       AMD     Intel\n",
       "0                 Acer  0.097087  0.902913\n",
       "1                Apple  0.000000  1.000000\n",
       "2                 Asus  0.069620  0.930380\n",
       "3                Chuwi  0.000000  1.000000\n",
       "4                 Dell  0.000000  1.000000\n",
       "5              Fujitsu  0.000000  1.000000\n",
       "6               Google  0.000000  1.000000\n",
       "7                   HP  0.091241  0.908759\n",
       "8               Huawei  0.000000  1.000000\n",
       "9                   LG  0.000000  1.000000\n",
       "10              Lenovo  0.053872  0.946128\n",
       "11                 MSI  0.000000  1.000000\n",
       "12            Mediacom  0.000000  1.000000\n",
       "13           Microsoft  0.000000  1.000000\n",
       "14               Razer  0.000000  1.000000\n",
       "15             Samsung  0.000000  0.888889\n",
       "16             Toshiba  0.000000  1.000000\n",
       "17                Vero  0.000000  1.000000\n",
       "18              Xiaomi  0.000000  1.000000"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.crosstab(index=df[\"Company\"], columns=df[\"Cpu_Company\"], normalize=\"index\")\n",
    "data = data.drop(columns=[\"Samsung\"]).reset_index()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18],\n",
       " [Text(0, 0, 'Acer'),\n",
       "  Text(1, 0, 'Apple'),\n",
       "  Text(2, 0, 'Asus'),\n",
       "  Text(3, 0, 'Chuwi'),\n",
       "  Text(4, 0, 'Dell'),\n",
       "  Text(5, 0, 'Fujitsu'),\n",
       "  Text(6, 0, 'Google'),\n",
       "  Text(7, 0, 'HP'),\n",
       "  Text(8, 0, 'Huawei'),\n",
       "  Text(9, 0, 'LG'),\n",
       "  Text(10, 0, 'Lenovo'),\n",
       "  Text(11, 0, 'MSI'),\n",
       "  Text(12, 0, 'Mediacom'),\n",
       "  Text(13, 0, 'Microsoft'),\n",
       "  Text(14, 0, 'Razer'),\n",
       "  Text(15, 0, 'Samsung'),\n",
       "  Text(16, 0, 'Toshiba'),\n",
       "  Text(17, 0, 'Vero'),\n",
       "  Text(18, 0, 'Xiaomi')])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "plt.bar(data[\"Company\"], data[\"AMD\"])\n",
    "plt.bar(data[\"Company\"], data[\"Intel\"], bottom=data[\"AMD\"])\n",
    "\n",
    "plt.title(\"Ноутбуки\")\n",
    "plt.xlabel(\"Компания производитель ноутбуков\")\n",
    "plt.ylabel(\"Доля ноутбуков\")\n",
    "plt.legend([\"AMD\", \"Intel\"])\n",
    "plt.xticks(rotation=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4 задача\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1 Изучите взаимосвязь стоимости ноутбука и компании производителя процессора\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Price_euros by Cpu_Company')"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "sns.boxplot(x=df[\"Price_euros\"], y=df[\"Cpu_Company\"], whis=1.5)\n",
    "\n",
    "plt.xlabel(\"Price_euros\")\n",
    "plt.ylabel(\"Cpu_Company\")\n",
    "plt.title(\"Distribution of Price_euros by Cpu_Company\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 Изучите взаимосвязь стоимости ноутбука и типа носителя памяти\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Price_euros by Memory_Type')"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "sns.boxplot(x=df[\"Price_euros\"], y=df[\"Memory_Type\"], whis=1.5)\n",
    "\n",
    "plt.xlabel(\"Price_euros\")\n",
    "plt.ylabel(\"Memory_Type\")\n",
    "plt.title(\"Distribution of Price_euros by Memory_Type\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3 Изучите взаимосвязь стоимости ноутбука и кол-ва оперативной памяти\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Price_euros by Ram')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "sns.boxplot(x=df[\"Price_euros\"], y=df[\"Ram\"], whis=1.5)\n",
    "\n",
    "plt.xlabel(\"Price_euros\")\n",
    "plt.ylabel(\"Ram\")\n",
    "plt.title(\"Distribution of Price_euros by Ram\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.4 Изучите взаимосвязь стоимости ноутбука и компании производителя\n",
    "\n",
    "- Постройте график\n",
    "- Назовите график\n",
    "- Сделайте именование оси x и оси y\n",
    "- Сделайте выводы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Price_euros by Company')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "sns.boxplot(x=df[\"Price_euros\"], y=df[\"Company\"], whis=1.5)\n",
    "\n",
    "plt.xlabel(\"Price_euros\")\n",
    "plt.ylabel(\"Company\")\n",
    "plt.title(\"Distribution of Price_euros by Company\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5 задача*\n",
    "\n",
    "Постройте матрицу корреляций для таблицы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Inches</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Price_euros</th>\n",
       "      <th>Memory_Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Inches</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weight</th>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price_euros</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Memory_Amount</th>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Inches  Weight  Price_euros  Memory_Amount\n",
       "Inches            1.0     0.8          0.0            0.3\n",
       "Weight            0.8     1.0          0.0            0.0\n",
       "Price_euros       0.0     0.0          1.0            0.0\n",
       "Memory_Amount     0.3     0.0          0.0            1.0"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# corr_matrix = df.corr() # если возникает ошибка, то перечисляем все числовые поля\n",
    "corr_matrix = df[[\"Inches\", \"Weight\", \"Price_euros\", \"Memory_Amount\"]].corr()\n",
    "\n",
    "corr_matrix = np.round(corr_matrix, 1)\n",
    "corr_matrix[np.abs(corr_matrix) < 0.3] = 0\n",
    "corr_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(corr_matrix, annot=True, linewidths=1, cmap=\"coolwarm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Геоданные"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\n",
    "    \"https://gbcdn.mrgcdn.ru/uploads/asset/5970311/attachment/09507484ecfe95d8cb7ba705c22393bf.csv\",\n",
    "    sep=\",\",\n",
    ")\n",
    "# df = pd.read_csv(\"kc_house_data.csv\", sep=\",\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "\n",
    "this_map = folium.Map(prefer_canvas=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotDot(point):\n",
    "    folium.CircleMarker(\n",
    "        location=[point.lat, point.long],\n",
    "        radius=2,\n",
    "        popup={\"price\": point.price, \"floors\": point.floors},\n",
    "    ).add_to(this_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.apply(plotDot, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "this_map.fit_bounds(this_map.get_bounds())\n",
    "\n",
    "this_map"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
